Evidence map›Paper›PMID 31532787›Full record

ArticlePloS one2019

Differential metabolomics networks analysis of menopausal status.

Xiujuan Cui, Xiaoyan Yu, Guang Sun, Ting Hu, Sergei Likhodii, Jingmin Zhang, Edward Randell, Xiang Gao, Zhaozhi Fan, Weidong Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Age- and Sex-Dependent Changes of Free Circulating Blood Metabolite and Lipid Abundances, Correlations, and Ratios.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  5. Article
  6. Grading of endometrial cancer usingScientific reports · 2021
    Article
  7. Pulmonary disease and the autonomic nervous system: a new pathophysiological mechanism for Lady Windermere syndrome.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2021
    Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Xiujuan CuiSchool of Pharmaceutical Sciences, Jilin University, Changchun, P.R. China.
Xiaoyan YuSchool of Pharmaceutical Sciences, Jilin University, Changchun, P.R. China.
Guang SunDiscipline of Medicine, Faculty of Medicine, Memorial University, St. John's, NL, Canada.
Ting HuDepartment of Computer Science, Memorial University, St John's, NL, Canada.
Sergei LikhodiiBC Provincial Toxicology Centre, Provincial Health Services Authority, Vancouver, British Columbia, Canada.
Jingmin ZhangSchool of Pharmaceutical Sciences, Jilin University, Changchun, P.R. China.
Edward RandellDepartment of Laboratory Medicine, Faculty of Medicine, Memorial University, St. John's, NL, Canada.
Xiang GaoCollege of Life Sciences, Qingdao University, Qingdao, China.
Zhaozhi FanDepartment of Mathematics and Statistics, Memorial University, St. John's, NL, Canada.
Weidong ZhangSchool of Pharmaceutical Sciences, Jilin University, Changchun, P.R. China.ORCID 0000-0002-0843-5688
Memorial University of Newfoundland · CAJilin University · CNProvincial Health Services Authority · CAQingdao University · CN

Funding

CIHR MOP192552
6 · The paper itself

Abstract

Menopause is an endocrine-related transition that induces a number of physiological and potentially pathological changes in middle-aged and elderly women. The intention of this research was to investigate the influence of menopause on the intricate relationships between major biochemical metabolites. The study involved metabolic profiling of 186 metabolic markers measured in blood plasma collected from 120 healthy female participants. We developed a method of network analysis using differential correlation that enabled us to detect and characterize differences in metabolites and changes in inter-relationships in pre- and post-menopausal women. A topological analysis was performed on the differential network that uncovered metabolite differences in pre-and post-menopausal women. In this analysis, our method identified two key metabolites, sphingomyelins and phosphatidylcholines, which may be useful in directing further studies into menopause-specific differences in the metabolome, and how these differences may underlie the body's response to stress and disease following the transition from pre- to post-menopausal status for women.

Indexed as

AdultAgedBiomarkersFemaleHumansMenopauseMetabolomeMetabolomicsMiddle AgedPhosphatidylcholinesSphingomyelinsYoung AdultBiomarkersPhosphatidylcholinesSphingomyelins

Identifiers

PMID31532787
PMCPMC6750885
OpenAlexW2973436219

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.